Objective:To develop an artificial intelligence (AI)-based automatic scoring model for magnetic resonance imaging-detected extramural vascular invasion (AI-mrEMVI) and evaluate its performance and prognostic value in patients with rectal cancer.Methods:In this multicenter retrospective cohort study, a total of 2 501 rectal cancer patients from seven centers between November 2012 and December 2020 were included and divided into completely independent training ( n=1 830) and validation ( n=671) cohorts. A nnUNet-based AI-mrEMVI scoring model was constructed. Manual mrEMVI scores assigned by two radiologists served as the reference standard for accessing the accuracy of the AI-mrEMVI scoring. Kaplan-Meier survival analysis and Cox regression were used to evaluate the prognostic stratification ability of the AI-mrEMVI scores. The concordance index (C-index) was calculated to evaluate prognostic performance. Results:In the validation cohort, the manual mrEMVI scores were 0-2 in 425 patients (63.3%), 3 in 89 (13.4%), and 4 in 157 (23.4%). The AI-mrEMVI model identified 0-2 in 375 patients (55.9%), 3 in 95 (14.2%), and 4 in 201 (30.0%), with an overall accuracy of 81.1% (544/671, 95% CI 77.9%-84.0%). The 3-year disease-free survival (DFS) rates for patients with AI-mrEMVI scores of 0-2, 3, and 4 were 85.2%, 70.0%, and 58.2%, respectively, and the 5-year overall survival (OS) rates were 87.2%, 81.6%, and 62.6%, respectively (DFS: χ2=48.74, P<0.001; OS: χ2=30.04, P<0.001). Multivariable Cox regression showed that for DFS, AI-mrEMVI scores of 3 and 4 were associated with hazard ratios ( HR) of 1.75 (95% CI 1.11-2.77, P=0.016) and 2.65 (95% CI 1.86-3.78, P<0.001), respectively. For OS, an AI-mrEMVI score of 4 was associated with an HR of 2.56 (95% CI 1.62-4.03, P<0.001). The C-index values of the AI-mrEMVI scoring model for predicting DFS and OS were 0.647 (95% CI 0.608-0.686) and 0.650 (95% CI 0.598-0.702), respectively. Conclusion:The proposed AI-mrEMVI automatic scoring model demonstrated high diagnostic accuracy and performed favorably in predicting DFS and OS prognostic risk in patients with rectal cancer.

Objective:To investigate the difference in brain activity intensity between methamphetamine (MA) dependent patients (MA group) and healthy controls (control group) using fractional amplitude of low-frequency fluctuation (fALFF), and to establish a classification model between these two groups using support vector machine (SVM).Methods:From February 2014 to October 2019, a total of 46 male MA-dependent patients and 46 male healthy controls were recruited from the Affiliated Kangning Hospital of Ningbo University. The study collected resting-state functional magnetic resonance imaging (rs-fMRI) data and analyzed the differences in brain functional activity between the two groups. This analysis was conducted using both static and dynamic fractional amplitude of low-frequency fluctuations (d-fALFF). Additionally, the study examined the correlation between fALFF/d-fALFF values in specific brain regions and the total scores, as well as each factor score, of the Brief Psychiatric Rating Scale (BPRS). Furthermore, the relationship between fALFF/d-fALFF values and the age of first use and total dose of MA in the MA group was investigated. Finally, the fALFF map and d-fALFF map of brain regions with significant differences between groups were used as features for constructing classification.Results:Compared to the healthy control group, those dependent on MA showed significantly increased fALFF mainly in the nucleus accumbens, caudate nucleus, thalamus, and amygdala nucleus( t=-5.21--2.72, all P<0.05). The MA group exhibited decreased fALFF in the superior frontal gyrus, middle frontal gyrus, orbital gyrus, and cingulate gyrus( t=3.59-5.00, all P<0.05). Most of the brain regions with decreased d-fALFF overlapped with those exhibiting decreased fALFF( t=3.33-4.87, all P<0.05). The results of the correlation analysis showed that the fALFF value of the right nucleus accumbens was positively correlated with the age of first use of MA ( r=0.537, P<0.001). There is no significant relationship between the abnormal fALFF and d-fALFF values in the MA group and the total scores and each factor scores of BPRS, as well as the total dose of MA taken (after removing outliers). Based on fALFF and d-fALFF values, the SVM classifier achieved accuracies of 90.33%±6.89% and 71.56%±7.80%, respectively. Conclusions:There are significant abnormalities in the low-frequency fluctuation of the resting brain in patients dependent on MA. These abnormalities reflect the rigidity of prefrontal cortex activity, functional impairment, and dysfunction of the anti-reward system. These factors may be one of the causes for MA dependent behavior and repeated episodes. In addition, the fALFF values may be helpful for distinguishing MA dependent individuals from the control group.

Objective To explore the status of nursing work engagement, nursing work environment and emotional intelligence and their relationship among nurses who work in hematopoietic stem cell transplantation (HSCT) units. Methods A total of 225 HSCT nurses were selected as study subjects by convenience sampling method. Utrecht Work Engagement Scale, Nursing Work Environment Scale and Emotional Intelligence Scale were used to assess the work engagement, work environment and emotional intelligence among these nurses. AMOS 23.0 software was used to construct the structural equation model. Results The median and 25th and 75th percentiles of the score of work engagement of the research subjects were 59.0 (54.0, 64.0) points. The average scores of the nursing work environment and emotional intelligence were (117.8±21.5) and (58.8±10.7) points, respectively. The score of work engagement was positively correlated with the scores of the nursing work environment and emotional intelligence (rank correlation coefficients were 0.550 and 0.431, respectively, both P<0.01). The total score of the nursing work environment was positively correlated with the total score of emotional intelligence (correlation coefficient was 0.271, P<0.01). The nursing work environment influenced the work engagement status of HSCT nurses through the mediating effect of emotional intelligence, with an indirect effect of 0.115 (95% confidence interval: 0.201-0.365), accounting for 20.4% of the total effect. Conclusion Emotional intelligence is a mediating variable between the nursing work environment and work engagement of HSCT nurses.

Objective:To develop an artificial intelligence (AI)-based automatic scoring model for magnetic resonance imaging-detected extramural vascular invasion (AI-mrEMVI) and evaluate its performance and prognostic value in patients with rectal cancer.Methods:In this multicenter retrospective cohort study, a total of 2 501 rectal cancer patients from seven centers between November 2012 and December 2020 were included and divided into completely independent training ( n=1 830) and validation ( n=671) cohorts. A nnUNet-based AI-mrEMVI scoring model was constructed. Manual mrEMVI scores assigned by two radiologists served as the reference standard for accessing the accuracy of the AI-mrEMVI scoring. Kaplan-Meier survival analysis and Cox regression were used to evaluate the prognostic stratification ability of the AI-mrEMVI scores. The concordance index (C-index) was calculated to evaluate prognostic performance. Results:In the validation cohort, the manual mrEMVI scores were 0-2 in 425 patients (63.3%), 3 in 89 (13.4%), and 4 in 157 (23.4%). The AI-mrEMVI model identified 0-2 in 375 patients (55.9%), 3 in 95 (14.2%), and 4 in 201 (30.0%), with an overall accuracy of 81.1% (544/671, 95% CI 77.9%-84.0%). The 3-year disease-free survival (DFS) rates for patients with AI-mrEMVI scores of 0-2, 3, and 4 were 85.2%, 70.0%, and 58.2%, respectively, and the 5-year overall survival (OS) rates were 87.2%, 81.6%, and 62.6%, respectively (DFS: χ2=48.74, P<0.001; OS: χ2=30.04, P<0.001). Multivariable Cox regression showed that for DFS, AI-mrEMVI scores of 3 and 4 were associated with hazard ratios ( HR) of 1.75 (95% CI 1.11-2.77, P=0.016) and 2.65 (95% CI 1.86-3.78, P<0.001), respectively. For OS, an AI-mrEMVI score of 4 was associated with an HR of 2.56 (95% CI 1.62-4.03, P<0.001). The C-index values of the AI-mrEMVI scoring model for predicting DFS and OS were 0.647 (95% CI 0.608-0.686) and 0.650 (95% CI 0.598-0.702), respectively. Conclusion:The proposed AI-mrEMVI automatic scoring model demonstrated high diagnostic accuracy and performed favorably in predicting DFS and OS prognostic risk in patients with rectal cancer.

This study analyzed the clinical and laboratory data of 3 children diagnosed with mitochondrial disease-associated primary adrenal insufficiency (PAI) at the Guangzhou Women and Children′s Medical Center, Guangzhou Medical University from October 2018 to November 2023.All patients were normal at birth but gradually developed symptoms and were diagnosed with PAI between the ages of 1 year and 1 month and 7 years and 3 months.The children presented typical clinical symptoms of PAI, including skin and mucosal hyperpigmentation (3 cases), electrolyte disturbances (3 cases), and hypoglycemia (2 cases), as well as multisystem abnormalities related to mitochondrial disease, including recurrent infections, growth retardation, cachexia, and hyperlactatemia.Genetic testing revealed significant single deletions in mitochondrial DNA in all patients: Patient 1: m.11219_15954del, Patient 2: m.8483_13459del, and Patient 3: m.8649_16084del.Treatment with Hydrocortisone acetate replacement therapy improved the electrolyte disturbances and hypoglycemia, but issues with recurrent infections, growth retardation, and cachexia persisted.This study suggests that in clinical practice, the possibility of mitochondrial disease should be highly suspected when PAI patients present with multisystem abnormalities, especially in conjunction with hyperlactatemia.

This study analyzed the clinical and laboratory data of 3 children diagnosed with mitochondrial disease-associated primary adrenal insufficiency (PAI) at the Guangzhou Women and Children′s Medical Center, Guangzhou Medical University from October 2018 to November 2023.All patients were normal at birth but gradually developed symptoms and were diagnosed with PAI between the ages of 1 year and 1 month and 7 years and 3 months.The children presented typical clinical symptoms of PAI, including skin and mucosal hyperpigmentation (3 cases), electrolyte disturbances (3 cases), and hypoglycemia (2 cases), as well as multisystem abnormalities related to mitochondrial disease, including recurrent infections, growth retardation, cachexia, and hyperlactatemia.Genetic testing revealed significant single deletions in mitochondrial DNA in all patients: Patient 1: m.11219_15954del, Patient 2: m.8483_13459del, and Patient 3: m.8649_16084del.Treatment with Hydrocortisone acetate replacement therapy improved the electrolyte disturbances and hypoglycemia, but issues with recurrent infections, growth retardation, and cachexia persisted.This study suggests that in clinical practice, the possibility of mitochondrial disease should be highly suspected when PAI patients present with multisystem abnormalities, especially in conjunction with hyperlactatemia.

Objective:To investigate the difference in brain activity intensity between methamphetamine (MA) dependent patients (MA group) and healthy controls (control group) using fractional amplitude of low-frequency fluctuation (fALFF), and to establish a classification model between these two groups using support vector machine (SVM).Methods:From February 2014 to October 2019, a total of 46 male MA-dependent patients and 46 male healthy controls were recruited from the Affiliated Kangning Hospital of Ningbo University. The study collected resting-state functional magnetic resonance imaging (rs-fMRI) data and analyzed the differences in brain functional activity between the two groups. This analysis was conducted using both static and dynamic fractional amplitude of low-frequency fluctuations (d-fALFF). Additionally, the study examined the correlation between fALFF/d-fALFF values in specific brain regions and the total scores, as well as each factor score, of the Brief Psychiatric Rating Scale (BPRS). Furthermore, the relationship between fALFF/d-fALFF values and the age of first use and total dose of MA in the MA group was investigated. Finally, the fALFF map and d-fALFF map of brain regions with significant differences between groups were used as features for constructing classification.Results:Compared to the healthy control group, those dependent on MA showed significantly increased fALFF mainly in the nucleus accumbens, caudate nucleus, thalamus, and amygdala nucleus( t=-5.21--2.72, all P<0.05). The MA group exhibited decreased fALFF in the superior frontal gyrus, middle frontal gyrus, orbital gyrus, and cingulate gyrus( t=3.59-5.00, all P<0.05). Most of the brain regions with decreased d-fALFF overlapped with those exhibiting decreased fALFF( t=3.33-4.87, all P<0.05). The results of the correlation analysis showed that the fALFF value of the right nucleus accumbens was positively correlated with the age of first use of MA ( r=0.537, P<0.001). There is no significant relationship between the abnormal fALFF and d-fALFF values in the MA group and the total scores and each factor scores of BPRS, as well as the total dose of MA taken (after removing outliers). Based on fALFF and d-fALFF values, the SVM classifier achieved accuracies of 90.33%±6.89% and 71.56%±7.80%, respectively. Conclusions:There are significant abnormalities in the low-frequency fluctuation of the resting brain in patients dependent on MA. These abnormalities reflect the rigidity of prefrontal cortex activity, functional impairment, and dysfunction of the anti-reward system. These factors may be one of the causes for MA dependent behavior and repeated episodes. In addition, the fALFF values may be helpful for distinguishing MA dependent individuals from the control group.

Objective To develop a Behavioral Decision-making Scale for Glycemic Management in pregnant women with gestational diabetes and to test its reliability and validity.Methods Based on the trans-theoretical model and behavioral decision theory,the test version of the scale was formed through literature review,semi-structured interview,brainstorming,2 rounds of expert consultation and cognitive interview.A total of 560 pregnant women with gestational diabetes mellitus were recruited from 10 hospitals in Quanzhou,Fujian Province by convenience sampling method from 21 July to November 2023.The data were divided into 2 parts by random number method for exploratory factor analysis and confirmatory factor analysis.Results The scale included 4 dimensions of"behavioral decision-making motivation""behavioral decision-making influencing factors""behavioral decision-making intention"and"behavioral decision-making effectiveness"with 34 items.The Cronbach's αcoefficient of the total scale was 0.971;the split-half reliability was 0.919;the test-retest reliability was 0.863;the content validity index of the scale was 0.853.The exploratory factor analysis extracted 4 common factors,and the cumulative variance contribution rate was 78.28％.The confirmatory factor analysis showed that the factor structure of the scale was stable.Conclusion The scale has ideal reliability and validity,which can be used to measure the level of glycemic management behavior decision-making of pregnant women with gestational diabetes mellitus.

Objective:This study aims to explore the application value of the "liftoff" modular method in robot-assisted laparoscopic surgery for complex adrenal tumors.Methods:We retrospectively analyzed the clinical data of 15 patients with complex adrenal tumors treated at the General Hospital of Southern Theater Command from May 2022 to June 2023. The cohort comprised 5 males and 10 females with an average age of (47.6±7.8) years and a body mass index (BMI) of 26.5 (23.8-27.9) kg/m 2. Among the patients, 3 had a BMI ≥28 kg/m 2, 2 had diabetes, 6 had hypertension, and 1 had coronary heart disease. Preoperative endocrine hormone examination revealed abnormal blood catecholamines in 5 cases and abnormal blood cortisol in 2 cases. Ultrasound and CT scans indicated that 9 tumors were located on the left side and 6 on the right, with 4 cases showing tumor compression on adjacent large blood vessels or organs. The average tumor diameter was (7.61±2.79) cm, with 10 cases having a diameter ≥ 6 cm. All patients underwent laparoscopic adrenalectomy assisted by robots through the transperitoneal approach. The surgeries were performed in a lateral position under general anesthesia. The "liftoff" modular method was utilized to separate the treatment of adrenal tumors into lateral, medial, dorsal, cephalic, and adrenal renal plane sides. Tumors were appropriately manipulated during the operations to achieve a "liftoff" shape. Different modular dissociation steps were adopted based on the size and location of the left and right adrenal tumors. The left adrenal gland was dissected in the order of medial and dorsal, adrenal renal plane side, and lateral and cephalic sides, while the right adrenal gland was dissected in the order of lateral and dorsal, adrenal renal plane side, and medial and cephalic sides. Postoperative related indicators and follow-up status of patients were recorded and analyzed. Results:All 15 surgeries were successfully completed without any conversions to open adrenalectomy, with an average operation time of 118 (102-130) minutes and an average intraoperative blood loss of 102 (69-163) ml. The postoperative drainage time was 4 (3-5) days, and the postoperative hospital stay was 6 (4-7) days. The postoperative pathological diagnoses included 5 cases of pheochromocytoma, 3 cases of macronodular adrenal hyperplasia, 6 cases of adrenocortical adenoma, and 1 case of myelolipoma. Follow-up for 6-12 months after surgery showed good recovery and no recurrence.Conclusions:The application of the "liftoff" modular method in robot-assisted laparoscopic surgery for complex adrenal tumors is safe and feasible. It efficiently aids in tumor removal and holds significant clinical application value.

ObjectiveTo investigate the correlation between genetic polymorphism of heat shock proteins 70 (HSP70) and susceptibility to occupational noise-induced hearing loss (ONIHL). Methods A total of 229 ONIHL workers were selected as the case group and 229 healthy workers with similar age, years of noise exposure, and noise exposure levels were selected as the control group using the case-control study method. Occupational health examinations were conducted on both groups, and peripheral blood of individuals was collected for DNA extraction. The genotypes of three single nucleotide polymorphisms of the HSP70 were detected using the MassArray system. Results The allele frequency distribution of HSP70 rs2227956, rs1043618, and rs1061581 in the control group was in Hardy-Weinberg equilibrium (all P>0.05). The genotype and allele frequency distribution of rs2227956 was significantly different between the two groups (all P<0.05), while no significant difference was found for rs1043618 and rs1061581 (all P>0.05). After adjusting for age, years of noise exposure, individual noise exposure level, smoking, and drinking, individuals with AG and AG+GG genotypes of rs2227956 had a higher risk of ONIHL than those with AA genotype (all P<0.05). The risk of ONIHL was higher in individuals with G allele of rs2227956 than in those with A allele (P<0.05). No correlation was found between rs1043618 and rs1061581 polymorphisms and the risk of ONIHL (all P>0.05). Conclusion The rs2227956 polymorphism of the HSP70 gene is correlated with susceptibility to ONIHL in noise-exposed workers, and the G allele is a risk factor for ONIHL in this population.